4 RStudio ile veri yükleme

https://support.rstudio.com/hc/en-us/articles/218611977-Importing-Data-with-RStudio

4.1 Excel

4.2 SPSS

4.3 csv


5 Veriyi görüntüleme


6 Veriyi değiştirme

6.1 Veriyi kod ile değiştirelim

6.2 Veriyi eklentilerle değiştirme

6.3 RStudio aracılığıyla recode

questionr paketi kullanılacak

https://juba.github.io/questionr/articles/recoding_addins.html


7 Basit tanımlayıcı istatistikler

summary() mean median min max sd table()


8 Rcmdr


9 Sonraki Konular

  • RStudio ile GitHub
  • Hipotez testleri
  • R Markdown ve R Notebook ile tekrarlanabilir rapor

10 Diğer kodlar


11 Geri Bildirim

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